1982Proceedings of the Human Factors and Ergonomics Society Annual MeetingRequires access

Parametric and Nonparametric Signal Detection Measures: Pros and Cons

C. Marlin Brown

Open publisher page 1 citations

Abstract

Parametric measures of signal detection sensitivity (d') and response criterion (β) require somewhat restrictive distributional assumptions. Nonparametric analogs are available with no distributional assumptions. This paper describes several signal detection measures, discussing the advantages and limitations of each. A concurrent analysis of parametric and nonparametric estimates in a signal detection experiment is presented to demonstrate relationships and intercorrelations among the measures.

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Parametric measures of signal detection sensitivity (d') and response criterion (β) require somewhat restrictive distributional assumptions. Nonparametric analogs are available with no distributional assumptions. This paper describes several signal detection measures, discussing the advantages and limitations of each. A concurrent analysis of parametric and nonparametric estimates in a signal detection experiment is presented to demonstrate relationships and intercorrelations among the measures.

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Available abstract

Parametric measures of signal detection sensitivity (d') and response criterion (β) require somewhat restrictive distributional assumptions. Nonparametric analogs are available with no distributional assumptions. This paper describes several signal detection measures, discussing the advantages and limitations of each. A concurrent analysis of parametric and nonparametric estimates in a signal detection experiment is presented to demonstrate relationships and intercorrelations among the measures.

Key concepts: Nonparametric statistics, Parametric statistics, SIGNAL (programming language), Detection theory, Sensitivity (control systems), Computer science, Econometrics, Signal processing

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